Skip to main content
Capability practice/solutions/ai-governance-security

Credible answers for the questionnaire’s newest section.

AI governance and security for companies whose product is the model — model risk, data provenance, human oversight and the AI clauses now appearing in enterprise contracts.

Where this practice works in the System

ASSESSEnterprise Trust Score™ — AI Governance Readiness separates policy intent from enforced, observable and provable controls.
BUILDThe Enterprise Trust Accelerator applies this practice when AI Governance Readiness is the scoped primary objective.
OPERATEOwnership, controls and assurance evidence are designed to remain usable after implementation.

What buyers probe

Enterprises are writing AI into procurement faster than vendors can answer.

Data provenance & rights

What trained the model, under what rights, and what happens to customer data at inference — now contract language, not curiosity.

Model risk & oversight

Evaluation, red-teaming, human-in-the-loop and rollback. Buyers ask for the process, then the evidence of it running.

Emerging frameworks

ISO/IEC 42001, NIST AI RMF and the EU AI Act are entering questionnaires. Early alignment is cheap; retrofit is not.

The practice at work

What the practice does.

Governance that engineering can live with — controls scoped to real model risk, not theater.

01

AI risk & use-case inventory

Every model and AI feature mapped to its risk class, data exposure and the buyer questions it will trigger.

02

Governance framework & policy

An operating AI governance structure — approval gates, evaluation standards, incident paths — sized to your org, not a bank’s.

03

Model security controls

Prompt-injection defense, output handling, access boundaries and monitoring for AI-specific failure modes.

04

Questionnaire & clause response

A standing answer set for the AI section — provenance statements, evaluation summaries, oversight evidence.

Need implementation, not just a score?

Enterprise Trust Accelerator

AI Governance Readiness configuration

The 12-week Accelerator can be configured around AI Governance Readiness to establish ownership, risk classification, policies, controls and evidence for one scoped primary objective.

Explore the Accelerator →

Depending on scope, work may include

  • AI use-case inventory
  • AI ownership and accountability model
  • AI risk classification
  • AI governance framework and policy set
  • AI control blueprint and human oversight
  • Third-party AI and data-governance expectations
  • Monitoring and escalation model
  • AI assurance evidence and questionnaire foundation
The AI section of their questionnaire was forty questions. We answered from the governance pack in an afternoon — including the two questions legal had been dreading.
AI PLATFORM · FORTUNE 100 REVIEW

40+

AI questions in a typical 2026 enterprise questionnaire

ISO/IEC 42001

Alignment support available within scoped work

The AI section is only getting longer. Start answering it first.

Deployed through the System — Triage first, always free

Assess AI Governance Readiness